A low‐cost, free‐software platform with hard real‐time performance for control engineering education

González-Vargas, Andrés M.; Serna-Ramirez, Juan M.; Fory-Aguirre, Carlos; Ojeda-Misses, Alejandro; Cardona-Ordoñez, John M.; Tombé-Andrade, Jimmy; Soria, Alberto

doi:10.1002/cae.22084

Cited by 25 publications

(12 citation statements)

References 28 publications

(41 reference statements)

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“…Gazdos [32]: Using real-time laboratory models in the process of control education Gonzalez-Vargas et al [33]: A low-cost, free-software platform with hard real-time performance for control engineering education Questionnaire Hinov et al [34] Figure 2 summarizes the results. 68.42% of the 19 papers in the sample do not report any validation at all, 26.32% briefly summarize students' answers to questionnaires, and just one paper provides some descriptive statistics about students' marks.…”

Section: Questionnairementioning

confidence: 99%

Evidence-Based Control Engineering Education: Evaluating the LCSD Simulation Tool

et al. 2020

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The advance in control engineering education needs well-designed studies that validate what methods and tools work best. This paper addresses the lack of empirical evidence supporting innovations in control engineering education by proposing a methodology that works at different abstraction levels. Hence, innovations' impact on students' performance can be statistically analyzed either globally or locally by examining competencies or fine-grained indicators, respectively. The article reports the application of the methodology for evaluating an interactive simulation tool, named LCSD, on 101 students at the Pontifical Catholic University of Valparaiso in Chile. According to the experimental results, LCSD is an effective free alternative to enhance the student's skills on control system analysis for our automatic control course. Also, some improvements have been identified for future LCSD versions.

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Section: Questionnairementioning

confidence: 99%

Evidence-Based Control Engineering Education: Evaluating the LCSD Simulation Tool

et al. 2020

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“…The modeling and programming of the system was performed in the Simulink environment, which is a Matlab graphical object representation, in addition to previously performed work using the free-software platform [11]. Simulink has the ability to calculate and execute a very large number of functions at the same time.…”

Section: Modelmentioning

confidence: 99%

Dynamic analysis, modeling and control of the LEGO EV3 modular mobile platform

Bevrnja¹,

Bevrnja²,

Petrović³

2020

PEN

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Due to the increased popularity of robotic systems and their more frequent application, some companies have opted to incorporate modular robotic systems in their assortment. The advantages of such systems are great flexibility in terms of combining components, relatively easy programmability, a wide range of functions that can be performed, the availability of components, as well as modularity in terms of functional and structural connectivity. The disadvantages are reflected by the fact that these systems are not optimized for a particular application. The precision and accuracy of such systems are substantially less than those of the system created exclusively for a particular application. Gaps and dead strokes of moving parts are very influential on the performance of functions and there is relatively little autonomy to such systems. The problem of mutual inarticulation of motors was introduced, and a solution was given to overcome these problems. The observations concerning the aforementioned problems have been explained and the most important features of this approach to robotic systems highlighted.

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“…Asimismo, la madurez tecnológica del sector ha permitido que, a un moderado coste, sea posible configurar ad hoc un equipo UAV (Madridano et al, 2020;Kangunde et al, 2021;Bigazzi et al, 2021), lo que ha favorecido su uso en actividades formativas y de investigación. Desde un punto de vista científico-técnico, los UAVs son sistemas multidisciplinares de especial interés en ingeniería y, específicamente, para la práctica de la Ingeniería de Control (Khan et al, 2017;González-Vargas et al, 2019). En particular, el problema de control de un UAV de tipo multirrotor es no-lineal, de seis grados de libertad (6-DOF) y subactuado cuando los propulsores no son reorientables (Zhang et al, 2014;Shraim et al, 2018).…”

Section: Introductionunclassified

Benchmark de control de la orientación de un multirrotor en una estructura de rotación con tres grados de libertad

Rico-Azagra

Gil-Martínez

Rico

et al. 2021

Rev. iberoam. autom. inform. ind.

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Un cuatrirrotor con todo el equipamiento de vuelo se encuentra fijado a una estructura que permite la rotación en el espacio sin desplazamiento. Además, un conjunto de herramientas software desarrolladas con MATLAB-Simulink® ejecutan la programación de su controladora y gestionan la transmisión en tiempo real de consignas y estados del vuelo pilotado remotamente. Para este banco de pruebas se ofrece un simulador que reproduce fielmente el comportamiento del sistema real con el fin de plantear un benchmark de Ingeniería de Control. El problema propuesto es controlar la orientación del mutirrotor definida por los ángulos de Euler. Para ello, deben generarse las tres acciones de control que atacan al sistema de propulsión, considerando las velocidades y ángulos que estima el sistema de navegacion y las consignas angulares. Para lograr un mayor realismo, en las pruebas de comportamiento se pueden modificar la tensión de alimentación, que simula el nivel de carga de la batería, y una acción de control que emula el control de la altura, lo que da lugar a diferentes puntos de operación. El simulador permite configurar experimentos en lazo abierto o cerrado, para tareas de identificación o para analizar el comportamiento de los controladores en diferentes puntos de operación y ante diferentes entradas. El objetivo final es incorporar una ley de control que mejore el comportamiento dado como referencia para cierto experimento. Tras una simulación, una función de evaluación cuantifica las diferencias en el error de seguimiento y en la acción de control entre el control actual y el de referencia para cada grado de libertad. El principal desafío es optimizar el reducido ancho de banda disponible para controlar un sistema dinámico complejo.

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A low‐cost, free‐software platform with hard real‐time performance for control engineering education

Cited by 25 publications

References 28 publications

Evidence-Based Control Engineering Education: Evaluating the LCSD Simulation Tool

Evidence-Based Control Engineering Education: Evaluating the LCSD Simulation Tool

Dynamic analysis, modeling and control of the LEGO EV3 modular mobile platform

Benchmark de control de la orientación de un multirrotor en una estructura de rotación con tres grados de libertad

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